Model Comparison
Qwen2.5 Max
vs. Qwen3 4B 2507 Instruct
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen2.5 Max5 metric winsStrongest on: Reasoning, Intelligence, GPQA
Lowest Price
Qwen2.5 Max
$0.00/1M input price
Best Reasoning
Qwen2.5 Max
36.0 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Reasoning gap
Qwen2.5 Max leads Qwen3 4B 2507 Instruct by 2.4 points on reasoning.
Top-pick rationale
Qwen2.5 Max wins 5 measurable categories, including Reasoning, Intelligence, GPQA, MMLU Pro.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen2.5 Max
Alibaba
TTFT
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tok/s
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Cost
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Qwen3 4B 2507 Instruct
Alibaba
TTFT
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Time
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tok/s
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Which answer was more useful?
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Full Comparison
| Metric | Top Pick Al Qwen2.5 Max | Al Qwen3 4B 2507 Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Jan 28, 2025 | Aug 6, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 36.0 | 33.6 |
| Intelligence | 10.2 | 7.1 |
| Math | — | 52.3 |
| Standard Benchmarks | ||
| GPQA | 58.7% | 51.7% |
| MMLU Pro | 76.2% | 67.2% |
| HLE | 4.5% | 4.7% |
| LiveCodeBench | 35.9% | 37.7% |
| MATH 500 | 83.5% | — |
| AIME 2025 | — | 52.3% |
| AIME (Original) | 23.3% | — |
| SciCode | 33.7% | 18.1% |
| LCR | — | 7.3% |
| IFBench | — | 33.5% |
| TAU-bench v2 | — | 26.6% |
| TerminalBench Hard | — | 4.5% |
Key Takeaways
Qwen2.5 Max offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen2.5 Max has the strongest reasoning profile with a 36.0 reasoning score,combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen2.5 Max
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Qwen3 4B 2507 Instruct
- General-purpose AI
- Versatile applications
